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Bayesian Inference in Wavelet-Based Models [1999]

23
Latent Structure Analyses of Turbulence Data Using Wavelets and Time Series Decompositions
1
An Introduction to Wavelets
19
Spectral View of Wavelets and Nonlinear Regression
33
Bayesian Approach to Wavelet Decomposition and Shrinkage
51
Some Observations on the Tractability of Certain Multi-Scale Models
67
Bayesian Analysis of Change-Point Models
83
Prior Elicitation in the Wavelet Domain
95
Wavelet Nonparametric Regression Using Basis Averaging
109
An Overview of Wavelet Regularization
115
Minimax Restoration and Deconvolution
139
Robust Bayesian and Bayesian Decision Theoretic Wavelet Shrinkage
155
Best Basis Representations with Prior Statistical Models
173
Modeling Dependence in the Wavelet Domain
187
MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression, Density and Spectral Density Estimation
203
Empirical Bayesian Spatial Prediction Using Wavelets
223
Geometrical Priors for Noisefree Wavelet Coefficients in Image Denoising
243
Multiscale Hidden Markov Models for Bayesian Image Analysis
267
Wavelets for Object Representation and Recognition in Computer Vision
291
Bayesian Denoising of Visual Images in the Wavelet Domain
309
Empirical Bayes Estimation in Wavelet Nonparametric Regression
323
Nonparametric Empirical Bayes Estimation via Wavelets
341
Multiresolution Wavelet Analyses in Hierarchical Bayesian Turbulence Models
361
Low Dimensional Turbulent Transport Mechanics Near the Forest-Atmosphere Interface
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